Swagatam Haldar
Student at University of Tübingen
Tübingen, Baden-Württemberg, Germany
Summary
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Senior🎓
Top SchoolSwagatam Haldar is a masters student in machine learning at the University of Tübingen with eight years of industry and research experience spanning trustworthy ML, probabilistic inference, and image processing. Formerly a Research Software Engineer at IBM India Research Labs, he worked on individual fairness, API testing, and foundation model pretraining, and has hands-on experience applying symbolic regression and rule-based models to biomedical microbiome data. His academic foundation includes a BTech from IIT Kharagpur and practical projects in multiple-instance learning for cancer prediction, while he’s now exploring how LLMs and foundation models generalize. Known for blending research depth with engineering rigor, he tutors advanced mathematics for ML and maintains an active curiosity-driven portfolio that bridges interpretable modeling and real-world biomedical applications.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at University of TuebingenBachelor of Technology - BTech, Electrical Engineering, 9.15/10, Bachelor of Technology - BTech, Electrical Engineering, 9.15/10 at Indian Institute of Technology, Kharagpur
Stackoverflow
2,636reputation
80kreached
101answers
0questions
numpy
top-5%
pytorch
top-5%
python
top-5%
Github Skills (49)
simulation10
xai10
parameter-estimation10
bayesian-inference10
machine-learning-models9
artificial-intelligence9
pytorch9
numpy9
python9
evolutionary-algorithms9
machine-learning9
whitebox8
deep-learning8
inference8
targeting8
Programming languages (4)
Github contributions (5)
swag2198/Parallel-Programming
Jan 2020 - Aug 2020
Contributions:11 commits in 7 months
swag2198/AIX360
Jun 2023 - Jul 2024
Interpretability and explainability of data and machine learning models
Contributions:37 pushes in 1 year 1 month
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